This course will cover fundamental concepts, advanced techniques, and hands-on projects, equipping participants with the skills to develop and evaluate generative models.
Key Topics Include:
- Overview of AI and the significance of Generative AI
- In-depth exploration of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
- Advanced generative techniques, including diffusion models and transformer architectures
- Applications in art, music, and natural language processing
- Ethical considerations and future trends in Generative AI
Participants will engage in hands-on coding sessions using popular frameworks like TensorFlow and PyTorch, culminating in a capstone project that allows them to apply their learning. This course is ideal for those with a basic understanding of Python and machine learning concepts who are eager to explore the creative possibilities of AI. Join us to unlock the potential of Generative AI!
Key Deliverables:
- Daily assignments to reinforce theoretical and practical understanding
- Final project to demonstrate the practical application of robust and stochastic optimisation techniques
- Case studies to connect course concepts to real-world problems
Practical programme information:
Starting dates: 31 October 2025
Tuition fee: € 4,995
Format: This course consists of 8 full days of study.
Participants are expected to work at home for 4 to 8 hours per week
Group size: 8-18
Registration deadline: 3 October 2025
(The organisation has the right to cancel or postpone the course by 3 October 2025 if there are fewer than 8 admissions)
For more information about this course, please contact: BAforIndustry@vu.nl
This course is part of the Business Analytics for Industry programme.
It includes two other courses:
